EVALUATING HAND-CRAFTED AND LEARNING-BASED FEATURES FOR PHOTOGRAMMETRIC APPLICATIONS

8 citations as recorded by crossref.

1. Evaluation of Parameters that Impact Data Collection for Robot Progress Detection of a Masonry Wall A. McClymonds et al. https://doi.org/10.1061/JCCEE5.CPENG-6815
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3. The evaluation of hand-crafted and learned-based features in Terrestrial Laser Scanning-Structure-from-Motion (TLS-SfM) indoor point cloud registration: the case study of cultural heritage objects and public interiors J. Markiewicz et al. https://doi.org/10.1186/s40494-023-01099-9
4. Building Better Models: Benchmarking Feature Extraction and Matching for Structure from Motion at Construction Sites C. Cueto Zumaya et al. https://doi.org/10.3390/rs16162974
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7. A Two-Step Descriptor-Based Keypoint Filtering Algorithm for Robust Image Matching V. Mousavi et al. https://doi.org/10.1109/TGRS.2022.3188931
8. SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery J. Dai & J. He https://doi.org/10.3390/s26113483